Modelpublic

mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

2likes509downloads

Model Card

About

static quants of https://huggingface.co/DavidAU/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mistral-2x24B-MOE-Power-Devstral-Magistral-Reasoning-Ultimate-44B-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	Q2_K	16.3
GGUF	Q3KS	19.2
GGUF	Q3KM	21.2	lower quality
GGUF	Q3KL	22.9
GGUF	IQ4_XS	23.8
GGUF	Q4KS	25.1	fast, recommended
GGUF	Q4KM	26.6	fast, recommended
GGUF	Q5KS	30.2
GGUF	Q5KM	31.2
GGUF	Q6_K	36.0	very good quality
GGUF	Q8_0	46.5	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.